Programming The Arm R Cortex R M4 Based Stm32f4 Microcontrollers With Simulink R

PROGRAMMING THE ARM (R) CORTEX (R)-M4-BASED STM32F4 MICROCONTROLLERS WITH SIMULINK (R)

Programming the ARM® Cortex®-M4-based STM32F4 Microcontrollers with Simulink®

A microcontroller is a compact, integrated circuit designed to govern a specific operation in an embedded system. A typical microcontroller includes a processor, memory, and input/output (I/O) peripherals on a single chip. When they first became available, microcontrollers solely used Assembly language. Today, the C programming language (and some other high-level languages) can be used as well. Some of advanced microcontrollers support another programming technique as well: Graphical programming. In graphical programming, the user does not write any code but draws the block diagram of the system he wants. Then a software converts the drawn block diagram into a suitable code for the target device. Programming microcontrollers using graphical programming is quite easier than programming in C or Assembly. You can implement a complex system within hours with graphical programming while its implementation in C may take months. These features make the graphical programming an important option for engineers. This book study the graphical programming of STM32F4 high-performance microcontrollers with the aid of Simulink\textregistered\ and Waijung blockset. Students of engineering (for instance, electrical, biomedical, mechatronics and robotic to name a few), engineers who work in industry, and anyone who want to learn the graphical programming of STM32F4 can benefit from this book. Prerequisite for this book is the basic knowledge of MATLABi\textregistered/Simulink\textregistered.

Digital Signal Processing Using the ARM Cortex M4

Features inexpensive ARM® Cortex®-M4 microcontroller development systems available from Texas Instruments and STMicroelectronics. This book presents a hands-on approach to teaching Digital Signal Processing (DSP) with real-time examples using the ARM® Cortex®-M4 32-bit microprocessor. Real-time examples using analog input and output signals are provided, giving visible (using an oscilloscope) and audible (using a speaker or headphones) results. Signal generators and/or audio sources, e.g. iPods, can be used to provide experimental input signals. The text also covers the fundamental concepts of digital signal processing such as analog-to-digital and digital-to-analog conversion, FIR and IIR filtering, Fourier transforms, and adaptive filtering. Digital Signal Processing Using the ARM® Cortex®-M4: Uses a large number of simple example programs illustrating DSP concepts in real-time, in an electrical engineering laboratory setting Includes examples for both STM32F407 Discovery and the TM4C123 Launchpad, using Keil MDK-ARM, on a companion website Example programs for the TM4C123 Launchpad using Code Composer Studio version 6 available on companion website Digital Signal Processing Using the ARM® Cortex®-M4 serves as a teaching aid for university professors wishing to teach DSP using laboratory experiments, and for students or engineers wishing to study DSP using the inexpensive ARM® Cortex®-M4.